Job Description
JOB ID: TYA1497588
Job Title: MLOps Platform Engineer (SageMaker)
Location: Plano, TX 75024
Duration: 12 Months
Company Background:
Our client, a major employer in the area, is looking for a MLOps Platform Engineer (SageMaker) to be part of its team in its North American operations.
Who we are
Qualifications/ what you bring (Must Haves) Top 3-5 skills
Job Title: MLOps Platform Engineer (SageMaker)
Location: Plano, TX 75024
Duration: 12 Months
Company Background:
Our client, a major employer in the area, is looking for a MLOps Platform Engineer (SageMaker) to be part of its team in its North American operations.
Who we are
- Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Client's location. As one of the world's most admired brands, client is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for diverse, talented team members who want to Dream. Do. Grow with us.
- Client's Enterprise Platforms team is looking for a Senior ML Platform Engineer to design, build, and operationalize an enterprise ML platform on AWS SageMaker Unified Studio.
- You will migrate the organization from a fragmented ML toolchain to a unified, governed platform on AWS Landing Zone 2, covering the full ML lifecycle from data discovery through model deployment and monitoring.
- Set up SageMaker Unified Studio platform: domain configuration, project provisioning, persona-based roles, and multi-environment (Dev, Prod-UAT, Prod) promotion workflows
- Build MLOps pipelines using SageMaker Pipelines: data extraction from Snowflake, preprocessing, training, evaluation, and model registration
- Manage SageMaker Model Registry: cross-account model promotion, versioning, immutability, and lineage tracking
- Configure MLflow experiment tracking: auto-logging of parameters, metrics, and artifacts
- Set up identity and access management: Okta SSO, SailPoint entitlements, persona-based execution roles, service roles for pipelines
- Build model serving: real-time SageMaker endpoints and batch prediction workflows
- Set up model monitoring: data drift, model drift, performance degradation detection
- Configure data catalog: searchable datasets, access-level visibility, access-request workflows, lineage
- Own platform operations: observability (CloudWatch, Datadog), logging, custom images, instance availability
Qualifications/ what you bring (Must Haves) Top 3-5 skills
- 10-15 years of software engineering experience focused on cloud infrastructure or ML platform operations
- 5+ years hands-on with AWS, including deep expertise in Amazon SageMaker (Studio, Pipelines, Model Registry, Endpoints, Feature Store)
- 3+ years building and operating production MLOps pipelines training, versioning, deployment, monitoring, rollback
- Experience with SageMaker Unified Studio or Studio Classic domain/project setup, blueprints, multi-tenant configuration
- Infrastructure-as-Code with Terraform, CDK, or CloudFormation
- IAM design for ML platforms execution roles, service roles, cross-account access, Lake Formation, SSO/SAML
- MLflow or equivalent experiment tracking
- SageMaker Pipelines or similar workflow orchestration (Airflow, Step Functions)
- Model serving real-time endpoints, batch transform, auto-scaling, endpoint monitoring
- Snowflake as a data source for ML pipelines
- Kubernetes (EKS) and container orchestration
- Networking and security VPC, security groups, private endpoints, cross-account connectivity
- SageMaker Unified Studio domain provisioning, custom blueprints, project standardization
- SageMaker Feature Store for online/offline feature management
- SageMaker Model Monitor data quality checks, bias detection, drift detection
- AWS Machine Learning Specialty certification
Numbers & Facts
| Location | Plano, TX |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
| Year Founded | 1998 |
| Website | http://www.avaconsulting.com |
About Company
AVA Consulting provides the Best Talent to our clients. Our differentiators include: Strong Management team: helping to improve efficiencies. Deep Expertise: truly professional in their approach/delivery. Proven Track Record: worked with organizations of all sizes. Superior Execution: effective processes and well-trained staff. Long term Fulfilling Partnerships: is what we strive for Programs that fit your needs: with a total flexible approach.
Skills
- Acceptance Testingunmatched
- Amazon Web Services (AWS)unmatched
- Autoscalingunmatched
- Blueprintsunmatched
- Cloud Computingunmatched
- Consumer Brandingunmatched
- Consumer Promotionsunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Data Setsunmatched
- Engineeringunmatched
- Identity Data Managementunmatched
- Machine Learningunmatched
- Metricsunmatched
- Network Securityunmatched
- Performance Modelingunmatched
- Private Securityunmatched
- Promotional Programsunmatched
- Quality Monitoringunmatched
- Security Assertion Markup Language (SAML)unmatched
- Single Sign-On (SSO)unmatched
- Snowflake Schemaunmatched
- Software Engineeringunmatched
- Systems Administration/Managementunmatched
- Team Playerunmatched
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